High Energy Physics - Phenomenology · Physics
Probing a leptophobic top-colour model with cross section measurements and precise signal and background predictions: a case study
M. M. Altakach, J. M. Butterworth, T. Ježo, M. Klasen +1
2022-08-23
Computation and Language · Computer Science
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
2024-06-07
High Energy Physics - Phenomenology · Physics
Probing exotic long-lived particles from the prompt side using the CONTUR method
Louie Corpe, Andreas Goudelis, Simon Jeannot, Si Hyun Jeon
2024-12-20
Information Theory · Computer Science
Nonlinear Transform Coding
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh +4
2020-10-27
Information Retrieval · Computer Science
Modeling Ranking Properties with In-Context Learning
Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Pabitra Mitra
2025-05-26
Computer Vision and Pattern Recognition · Computer Science
Texture, Shape, Order, and Relation Matter: A New Transformer Design for Sequential DeepFake Detection
Yunfei Li, Yuezun Li, Baoyuan Wu, Junyu Dong +2
2025-07-30
Software Engineering · Computer Science
Towards Explainable Test Case Prioritisation with Learning-to-Rank Models
Aurora Ramírez, Mario Berrios, José Raúl Romero, Robert Feldt
2024-05-24
Computer Vision and Pattern Recognition · Computer Science
TopoCL: Topological Contrastive Learning for Medical Imaging
Guangyu Meng, Pengfei Gu, Peixian Liang, John P. Lalor +2
2026-03-17
Computer Vision and Pattern Recognition · Computer Science
Color Constancy Convolutional Autoencoder
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen +1
2020-05-26
Computation and Language · Computer Science
Sequence-level Large Language Model Training with Contrastive Preference Optimization
Zhili Feng, Dhananjay Ram, Cole Hawkins, Aditya Rawal +2
2025-02-25
Computer Vision and Pattern Recognition · Computer Science
CLCC: Contrastive Learning for Color Constancy
Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang +3
2021-06-10
Computation and Language · Computer Science
LLM-augmented Preference Learning from Natural Language
Inwon Kang, Sikai Ruan, Tyler Ho, Jui-Chien Lin +3
2023-10-13
Computation and Language · Computer Science
IOT: Instance-wise Layer Reordering for Transformer Structures
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie +4
2021-03-08
Networking and Internet Architecture · Computer Science
A Survey on Network Tomography with Network Coding
Peng Qin, Bin Dai, Benxiong Huang, Guan Xu +1
2014-03-25
Machine Learning · Computer Science
Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
Kohei Obata, Taichi Murayama, Zheng Chen, Yasuko Matsubara +1
2026-03-02
Computer Vision and Pattern Recognition · Computer Science
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan +1
2022-12-16